WO2015158240A1 - Obstacle avoidance walking method of self-moving robot - Google Patents
Obstacle avoidance walking method of self-moving robot Download PDFInfo
- Publication number
- WO2015158240A1 WO2015158240A1 PCT/CN2015/076510 CN2015076510W WO2015158240A1 WO 2015158240 A1 WO2015158240 A1 WO 2015158240A1 CN 2015076510 W CN2015076510 W CN 2015076510W WO 2015158240 A1 WO2015158240 A1 WO 2015158240A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- point
- obstacle
- axis
- walking
- self
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000006073 displacement reaction Methods 0.000 claims abstract description 7
- 238000011144 upstream manufacturing Methods 0.000 claims description 5
- 230000004888 barrier function Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 9
- 238000004140 cleaning Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000004887 air purification Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010408 sweeping Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L9/00—Details or accessories of suction cleaners, e.g. mechanical means for controlling the suction or for effecting pulsating action; Storing devices specially adapted to suction cleaners or parts thereof; Carrying-vehicles specially adapted for suction cleaners
- A47L9/28—Installation of the electric equipment, e.g. adaptation or attachment to the suction cleaner; Controlling suction cleaners by electric means
- A47L9/2836—Installation of the electric equipment, e.g. adaptation or attachment to the suction cleaner; Controlling suction cleaners by electric means characterised by the parts which are controlled
- A47L9/2852—Elements for displacement of the vacuum cleaner or the accessories therefor, e.g. wheels, casters or nozzles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
- B25J9/1664—Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
- B25J9/1666—Avoiding collision or forbidden zones
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0219—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory ensuring the processing of the whole working surface
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/24—Floor-sweeping machines, motor-driven
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
- A47L11/4011—Regulation of the cleaning machine by electric means; Control systems and remote control systems therefor
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
- A47L11/4061—Steering means; Means for avoiding obstacles; Details related to the place where the driver is accommodated
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/008—Manipulators for service tasks
- B25J11/0085—Cleaning
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/0003—Home robots, i.e. small robots for domestic use
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1674—Programme controls characterised by safety, monitoring, diagnostic
- B25J9/1676—Avoiding collision or forbidden zones
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L2201/00—Robotic cleaning machines, i.e. with automatic control of the travelling movement or the cleaning operation
- A47L2201/04—Automatic control of the travelling movement; Automatic obstacle detection
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S901/00—Robots
- Y10S901/01—Mobile robot
Definitions
- the invention relates to a self-moving robot obstacle avoiding walking method, belonging to the technical field of small household appliance manufacturing.
- FIG. 1 is a schematic diagram of an existing self-moving robot for obstacle avoidance walking. As shown in FIG. 1, if the movement direction of the self-moving robot is divided into the movement in the horizontal direction (X-axis) and the vertical direction (Y-axis), FIG.
- FIG. 1 shows the self-moving robot scanning along the X-axis direction, in Y.
- the self-moving robots travel along the reciprocating paths of Y1, Y2, and Y3, respectively, and when encountering the obstacle A4, bypass the obstacle and reciprocate in the vertical direction, encountering an obstacle each time in the vertical direction. After A4, the bypass action is performed.
- the walking mode of the existing self-moving robot leads to the path on the right side of the obstacle A4, which is repeatedly repeated many times. This large number of repeated walking greatly prolongs the walking time of the robot and seriously affects the working efficiency.
- the technical problem to be solved by the present invention lies in the deficiencies of the prior art, and provides a self-moving robot obstacle avoiding walking method, which has a clear judgment on the position of the obstacle, a simple walking route, and greatly improves the working efficiency of the self-mobile robot.
- a self-moving robot obstacle avoiding walking method in which the horizontal direction is the X axis and the vertical direction is the Y axis to establish a plane rectangular coordinate system in the walking area of the self-moving robot, the method specifically includes the following steps:
- Step 100 The mobile robot walks along the Y axis.
- the obstacle point is the upward obstacle point, and the effective uplink obstacle point is the uplink recording point;
- the obstacle point is the downward obstacle point, and the effective downlink obstacle point is the downlink recording point;
- Step 200 Divide the uplink record point and the downlink record point into the current uplink record point and the previous uplink record point, the current downlink record point, and the previous downlink record point according to the stored sequence;
- Step 300 If the current obstacle point is an uplink obstacle point, determine whether the current uplink obstacle point exists before Recording a point in a previous uplink, and the coordinate of the preceding uplink recording point on the Y axis is smaller than the coordinate of the current uplink obstacle point on the Y axis; if the current obstacle point is a downward obstacle point, determining the current downlink obstacle Whether there is a previous downlink recording point before the point, and the coordinate of the previous downlink recording point on the Y axis is greater than the coordinate of the current downlink obstacle point on the Y axis;
- Step 400 If the determination result is yes, the previous uplink recording point or the previous downward recording point is a turning point, and the mobile robot walks along the X axis toward the turning point in the obstacle point to the X-axis coordinate of the turning point. Deleting the turning point coordinates, performing the traversal walking of the area between the current obstacle point, and returning to step 100; if the judgment result is no, the self-moving robot moves a displacement amount M1 along the X axis;
- Step 500 The mobile robot moves in the reverse direction of the original Y-axis walking direction, and returns to step 100;
- Step 600 Cycle step 100 to step 500 until the traversal walking of the walking area is completed.
- the uplink obstacle point and the downlink obstacle point may be partially stored or may be stored in the whole. Specifically, when the part is stored, the step 100 specifically includes:
- the upside obstacle point is a valid up obstacle point; if the current downhole obstacle point and any previous down record point Y coordinate are not The same, the downside obstacle point is a valid downside obstacle point.
- the step 100 specifically includes: any uplink obstacle points are effective uplink obstacle points; and any downlink obstacle points are effective downlink obstacle points.
- the step 400 specifically includes: if the judgment result is yes, compare the difference between the X-axis coordinate of the uplink record point or the downlink record point satisfying the judgment condition and the X-axis coordinate of the obstacle point, and use the difference record with the largest difference.
- the point or down record point is the foldback point.
- the step 400 specifically includes: if the determination result is yes, delete all the uplink record points or the downlink record point coordinates that satisfy the judgment condition.
- the step 400 specifically includes: if the obstacle is detected again after the mobile robot has not reached the X-axis coordinate of the turning point, the folding point coordinates are deleted and the process proceeds to step 500.
- the walking manner in which the robot performs the traversal walking from the turning point to the current obstacle point is the same as the walking manner in the step 600 in which the traversing walking of the walking area is completed.
- the method further includes a step 410: determining whether the self-moving robot can walk along the original Y-axis walking direction. If the determination result is yes, the self-moving robot walks along the original Y-axis walking direction, and returns to step 100; Otherwise, proceed to step 500.
- the step 410 determines whether the specific content of the mobile robot can walk along the original Y-axis walking direction is:
- the mobile robot first walks along the original Y-axis walking direction. If no obstacle is detected after walking for a distance, then It is judged that the self-moving robot can walk along the original Y-axis walking direction; otherwise, it is judged that the self-moving robot cannot walk along the original Y-axis traveling direction.
- the side view sensor is provided on the side of the mobile robot.
- the step 410 determines whether the self-moving robot can walk along the original Y-axis travel direction: the self-mobile robot judges whether it can be along the original Y according to the feedback signal of the side-view sensor.
- the axis travels in the direction of walking.
- the invention also provides a self-moving robot obstacle avoiding walking method, in which the horizontal direction is the X axis and the vertical direction is the Y axis to establish a plane rectangular coordinate system in the walking region of the self-moving robot, and along the X axis or The direction of the Y axis is walking in the forward direction;
- the method specifically includes the following steps:
- Step 1000 The mobile robot walks along the Y axis.
- the position is set as an obstacle point, and the coordinates of the position are stored to form a recording point;
- Step 2000 determining whether a record point is stored first, and the coordinate of the record point on the Y axis is within a numerical interval formed by coordinates of the current obstacle point and the previous obstacle point in the Y axis;
- Step 3000 If the judgment result is yes, the recording point is a turning point, and the moving robot walks from the current obstacle point along the X axis toward the turning point to the X-axis coordinate of the turning point, deletes the turning point coordinate, and executes the point to After the traversal of the region between the current obstacle points, the process returns to step 1000;
- the self-moving robot moves a displacement amount M1 along the X axis
- Step 4000 The mobile robot moves in the reverse direction of the original Y-axis walking direction, and returns to step 1000;
- Step 5000 Loop step 1000 to step 4000 until the Y-axis traverse walk of the walking area is completed.
- the present invention has the advantages that when the self-moving robot encounters an obstacle during the walking of the work, the determination of the coordinates can be avoided at one time, and the area between the obstacle and the boundary of the walking area is respectively completed.
- Homework the prior art requires repeated avoidance of walking around obstacles during the work. Therefore, the present invention has a clear judgment on the position of the obstacle, and the walking route is simple, which greatly improves the working efficiency of the self-mobile robot.
- FIG. 1 is a schematic diagram of an existing self-moving robot for avoiding obstacles
- FIG. 2 is a schematic diagram of an obstacle avoidance walking of a mobile robot according to an embodiment of the present invention
- FIG. 3 is a schematic diagram of a self-moving robot obstacle avoidance walking according to an embodiment of the present invention.
- FIG. 4 is a schematic diagram of an obstacle avoidance walking of a self-mobile robot according to an embodiment of the present invention.
- FIG. 2 is a schematic diagram of an obstacle avoidance walking of a mobile robot according to an embodiment of the present invention.
- the specific obstacle avoidance walking process of the present invention is as follows. First, in the walking area of the self-moving robot, a plane rectangular coordinate system is established with the horizontal direction being the X axis and the vertical direction being the Y axis, and walking along the X and Y axis directions is positive walking, otherwise it is reverse walk.
- the obstacle avoidance walking process of the present invention will be described by taking the walking robot in the Y-axis direction as an example.
- the self-moving robot travels in the walking area 100 from the lower left corner O of the area, and travels forward in the Y-axis direction, and when it moves to the upper edge P of the walking area 100, an obstacle is detected.
- the obstacle may be the border of the walking area or the borderless cliff boundary, etc., at this time, the coordinates of the point are stored as (X 0 , Y P ), after the moving robot moves the M1 distance along the X-axis direction, along the Y Walking in the opposite direction in the axial direction.
- the mobile robot When it moves to the lower edge Q of the walking area 100, an obstacle is detected, and at this time, the coordinates of the point are stored as (X Q , Y Q ).
- the mobile robot automatically detects and determines whether there is a recording point whose Y coordinate value is within the Y-axis coordinate interval (Y Q , Y P ) formed by the stored current coordinate point Q and the stored previous coordinate point P. . As shown in Fig.
- the moving robot moves to point A, an obstacle is detected, and the coordinates of the point are stored as (X A , Y A ), and the coordinates of the point A' of the previous obstacle point of point A are (X A' , Y Q ), and there is no obstacle recording point where the Y-axis coordinate is between Y A and Y Q , then the moving robot continues to travel along the Y-axis after shifting the M1 distance along the X-axis direction at point A, so that the reciprocating "bow""Glyph path, while recording the coordinates of each point where the obstacle is detected.
- the walking path of the self-moving robot is: O ⁇ P ⁇ Q ⁇ A ⁇ B ⁇ F ⁇ G ⁇ C ⁇ D ⁇ N ⁇ E ⁇ C ⁇ G.
- the record point is a turn-back point, and the self-moving robot returns from the current obstacle point to the turn-back point, wherein if there are multiple record points satisfying the judgment condition, all the record points satisfying the judgment condition are compared.
- the difference between the X-axis coordinate and the X-axis coordinate at the obstacle point, and the record point with the largest difference is the fold-back point; if not, the self-moving robot reverses the Y1 distance after shifting the M1 distance from the current obstacle point along the X-axis Exercise, returning to the regular reciprocating "bow" walking style.
- the present invention provides a self-moving robot obstacle avoiding walking method.
- a plane orthogonal coordinate system is established with a horizontal direction as an X axis and a vertical direction as a Y axis. Walking in the direction of the X-axis or the Y-axis for forward walking;
- the method specifically includes the following steps:
- Step 1000 The mobile robot walks along the Y axis.
- the position is set as an obstacle point, and the coordinates of the position are stored to form a recording point;
- Step 2000 determining whether a record point is stored first, and the coordinate of the record point on the Y axis is within a numerical interval formed by coordinates of the current obstacle point and the previous obstacle point in the Y axis;
- Step 3000 If the judgment result is yes, the recording point is a turning point, and the moving robot walks from the current obstacle point along the X axis toward the turning point to the X-axis coordinate of the turning point, deletes the turning point coordinate, and executes the point to After the traversal of the region between the current obstacle points, the process returns to step 1000;
- the self-moving robot moves a displacement amount M1 along the X axis
- Step 4000 The mobile robot moves in the reverse direction of the original Y-axis walking direction, and returns to step 1000;
- Step 5000 Loop step 1000 to step 4000 until the Y-axis traverse walk of the walking area is completed.
- FIG. 3 is a schematic diagram of the obstacle avoidance walking of the self-mobile robot according to the second embodiment of the present invention.
- it is also required to establish a plane rectangular coordinate system in the horizontal direction of the X-axis and the vertical direction as the Y-axis in the walking area of the self-moving robot, and set along the X and Y axes. Walking in the direction is positive walking, otherwise walking in reverse.
- the coordinates of the point where the self-moving robot walks along the Y-axis in the forward direction and hit the obstacle correspond to the coordinates of the upward obstacle point; the coordinates of the point where the mobile robot moves backward along the Y-axis and touch the obstacle are the downward obstacles. Point coordinates.
- the coordinates of the point correspond to the coordinates of the right-hand obstacle point; the coordinates of the point at which the mobile robot moves backward along the X-axis and hit the obstacle are Left line obstacle point coordinates.
- the coordinates of the upward obstacle point and the descending obstacle point are stored separately from the mobile robot, and the points with the same Y-axis coordinates are stored only once in the up-going obstacle point or the descending obstacle point.
- the coordinates (X O , Y P ) of the upward obstacle point P are detected when the mobile robot walks to the P point, and there is no uplink record equal to the P-point Y-axis coordinate Y P before the P point.
- point P is a valid up-going obstacle point, storing P point coordinates as an up-record point, and in the walking area between point P and point A, all the upward obstacle points have the same Y-axis coordinate as the P-point Y-axis coordinate Therefore, the upward obstacle points in the area are invalid upward obstacle points, and the coordinates are not stored. For the same reason, among the downward obstacle points in the area, only the coordinates of the downward obstacle point Q (X Q , Y) Q ) Store.
- the coordinates of the point (X A , Y A ) are compared with the stored coordinates of the upstream recorded point, and the stored upstream recording point at this time only the point P, because the a point Y coordinate Y a point P Y-axis coordinate Y P are not equal, the coordinates (X-a, Y a) impairment point a is stored in the uplink is an uplink recording point, and because Y a, The coordinate value is less than Y P , and the mobile robot translates the M1 distance along the X axis at A.
- the self-moving robot first determines whether it can continue to travel along the walking direction before the shift, and the original direction is the Y-axis positive direction. If yes, continue to walk along the Y axis. If not, walk backwards along the Y axis. At this time, the mobile robot obviously cannot travel in the positive direction along the Y axis. Therefore, the mobile robot moves backward along the Y axis. Move down the Y axis.
- the Y-axis coordinates of all the upward obstacle points are the same as the A-axis Y-axis coordinates, so the coordinates of the upward obstacle points in the area are not stored, when the self-mobile robot walks to B1
- the obstacle is detected, and the coordinates at B1 are also compared with the previously stored coordinates of the upper recorded point. Since the Y coordinate of point P and point A is greater than or equal to the Y coordinate of point B1, the self-moving robot is at B1. Move the M1 distance along the X axis and move to point B. At this point, at point B, the self-moving robot needs to determine whether it can move upward along the original Y-axis direction.
- the self-moving robot can move upward along the original Y-axis direction, so the self-moving robot continues to move to point C.
- the C point coordinates are compared with the previously recorded P point and the Y axis coordinate of point A, and it is obvious that the Y axis coordinate of point A is smaller than the Y axis coordinate of point C.
- the point A is used as the turning point, and the moving robot moves from the point C in the X-axis direction to the point D which is the same as the X-axis coordinate of the point A, and then travels in the Y-axis direction.
- the record of point A is deleted at this time. Then the reciprocating "bow" shaped path moves from point D to point E.
- the coordinate point is no longer stored when the mobile robot detects the obstacle, until the movement to point E (excluding point E) restarts the storage. Obstacles.
- the self-moving robot needs to determine whether it can move downward along the original Y-axis direction, and if so, continue moving from point E to point G; if not, along the Y-axis Move up (not shown). Then resume the normal reciprocating "bow" shaped path from point G.
- the walking path of the self-moving robot is: O ⁇ P ⁇ Q ⁇ A ⁇ B ⁇ C ⁇ D ⁇ N ⁇ E ⁇ G.
- the second embodiment has two differences.
- the concept of up and down is defined for the direction in which the mobile robot travels along the Y axis.
- the coordinates of the obstacle points with the same Y coordinate in the upward obstacle point need not be stored, but only The obstacle points with different Y-axis coordinates are stored to form a recording point.
- the self-moving robot During the movement of the self-moving robot, it is only necessary to judge whether the Y-axis coordinate of a certain recording point is smaller than the Y-axis coordinate of the current obstacle point in the previously recorded upstream recording point, and if so, the self-moving robot from the current obstacle point Return to the X-axis coordinate of the record point; if not, the self-moving robot translates the M1 distance along the X-axis from the current obstacle point. Second: when the mobile robot detects the obstacle M1 distance, it adds a judgment on whether the self-mobile robot can continue walking according to the walking direction before the translation, and if so, continues to walk according to the walking direction before the translation, if no , then walk in the opposite direction of the walking direction before translation. Adding such a judging step in the present embodiment can further simplify the walking path and improve the working efficiency of the self-mobile robot.
- the concept of the uplink and the downlink is defined for the direction in which the mobile robot travels along the Y axis, and in order to reduce the amount of data storage, the Y coordinate of the uplink obstacle point or the downlink obstacle point is the same.
- the obstacle point is stored only once, but the travel path shown in Fig. 3 can also be realized by storing all the obstacle point coordinates.
- the mobile robot moves the M1 distance of the obstacle after the obstacle is moved, and the walking obstacle is not limited to the limiting condition, for example, Excluding the restriction condition, the walking path shown in FIG. 2 can be completed since the mobile robot always walks in a reciprocating "bow" shape path.
- FIG. 4 is a schematic diagram of an obstacle avoidance walking of a self-mobile robot according to an embodiment of the present invention. As shown in Fig. 4, this embodiment is a further optimization based on the foregoing two embodiments.
- point A is used as the turning point. It should be moved in the X-axis direction at the point C to the same position as the X-axis coordinate of point A, but the blocking of the obstacle M is detected. At this time, the turning point A is deleted.
- the walking path of the self-moving robot is: A ⁇ B ⁇ C ⁇ B ⁇ D.
- the third embodiment further increases the step of further judging and controlling the self-moving robot during the walking along the Y-axis or the X-axis direction, and the obstacles are required to be turned according to the control method, and the steps provided in the first and second embodiments are provided.
- the control method is improved.
- the above method is also applicable when the self-moving robot walks in the X-axis direction.
- the rectangular coordinate system is established in the horizontal direction as the X-axis and the vertical direction as the Y-axis to facilitate the description of the walking path, but the present invention is not limited to the horizontal direction and the vertical direction, and the coordinate system can be established in other two perpendicular directions. , such as east-west direction and north-south direction.
- the present invention provides a self-moving robot obstacle avoiding walking method.
- a plane rectangular coordinate system is established with a horizontal direction as an X axis and a vertical direction as a Y axis.
- the method specifically includes The following steps:
- Step 100 The mobile robot walks along the Y axis.
- the obstacle point is the upward obstacle point, and the effective uplink obstacle point is the uplink recording point;
- the obstacle point is the downward obstacle point, and the effective downlink obstacle point is the downlink recording point;
- Step 200 Divide the uplink record point and the downlink record point into the current uplink record point and the previous uplink record point, the current downlink record point, and the previous downlink record point according to the stored sequence;
- Step 300 If the current obstacle point is an uplink obstacle point, determine whether there is a previous uplink recording point before the current uplink obstacle point, and the coordinate of the previous uplink recording point on the Y axis is smaller than the current uplink obstacle point. The coordinate on the Y axis; if the current obstacle point is a downward obstacle point, it is determined whether there is a previous downlink recording point before the current downlink obstacle point, and the coordinate of the previous downlink recording point on the Y axis is greater than the current downlink The coordinates of the obstacle point on the Y axis;
- Step 400 If the determination result is yes, the previous uplink recording point or the previous downward recording point is a turning point, and the mobile robot walks along the X axis toward the turning point in the obstacle point to the X-axis coordinate of the turning point. Deleting the turning point coordinates, performing the traversal walking of the area between the current obstacle point, and returning to step 100; if the judgment result is no, the self-moving robot moves a displacement amount M1 along the X axis;
- Step 500 The mobile robot moves in the reverse direction of the original Y-axis walking direction, and returns to step 100;
- Step 600 Cycle step 100 to step 500 until the traversal walking of the walking area is completed.
- the step 100 specifically includes:
- the upside obstacle point is a valid up obstacle point; if the current downhole obstacle point and any previous down record point Y coordinate are not The same, the downside obstacle point is a valid downside obstacle point.
- the step 100 specifically includes:
- Any upside obstacle points are effective upside obstacle points; any downside obstacle points are effective downside obstacle points.
- the step 400 specifically includes: if the judgment result is yes, compare the difference between the X-axis coordinate of the uplink record point or the downlink record point satisfying the judgment condition and the X-axis coordinate of the obstacle point, and use the difference record with the largest difference.
- the point or down record point is the foldback point.
- the step 400 specifically includes: if the determination result is yes, delete all the uplink record points or the downlink record point coordinates that satisfy the judgment condition.
- the step 400 specifically includes: if the obstacle is detected again after the mobile robot has not reached the X-axis coordinate of the turning point, the folding point coordinates are deleted and the process proceeds to step 500.
- the walking manner in which the robot performs the traversal walking from the turning point to the current obstacle point is the same as the walking manner in the step 600 in which the traversing walking of the walking area is completed.
- the method further includes a step 410: determining whether the self-moving robot can walk along the original Y-axis walking direction. If the determination result is yes, the self-moving robot walks along the original Y-axis walking direction, and returns to step 100; Otherwise, proceed to step 500.
- the step 410 determines whether the specific content of the mobile robot can walk along the original Y-axis walking direction is:
- the self-moving robot first walks along the original Y-axis walking direction. If no obstacle is detected after walking for a certain distance, it is judged that the self-moving robot can walk along the original Y-axis walking direction. Otherwise, it is judged that the self-moving robot cannot walk along the original Y-axis. Walking in the direction.
- the side view sensor is provided on the side of the mobile robot.
- the step 410 determines whether the self-moving robot can walk along the original Y-axis travel direction: the self-mobile robot judges whether it can be along the original Y according to the feedback signal of the side-view sensor.
- the axis travels in the direction of walking.
- the advantage of the present invention is that when the self-moving robot encounters an obstacle during the walking of the work, the obstacle can be avoided by the judgment of the coordinate, and the obstacle is surrounded and walked separately.
Abstract
Description
Claims (11)
- 一种自移动机器人避障行走方法,在所述自移动机器人的行走区域内,以水平方向为X轴,竖直方向为Y轴建立平面直角坐标系,其特征在于,该方法具体包括如下步骤:A self-moving robot obstacle avoidance walking method, in which a horizontal coordinate is an X-axis and a vertical direction is a Y-axis to establish a plane rectangular coordinate system in the walking region of the self-moving robot, wherein the method specifically includes the following steps :步骤100:自移动机器人沿Y轴行走,当自移动机器人沿Y轴正向行走检测到障碍物时,设该位置障碍点为上行障碍点,存储有效的上行障碍点为上行记录点;当自移动机器人沿Y轴反向行走检测到障碍物时,设该位置障碍点为下行障碍点,存储有效的下行障碍点为下行记录点;Step 100: The mobile robot walks along the Y axis. When the mobile robot detects the obstacle along the Y axis, the obstacle point is the upward obstacle point, and the effective uplink obstacle point is the uplink recording point; When the mobile robot detects the obstacle along the Y-axis, the obstacle point is the downward obstacle point, and the effective downlink obstacle point is the downlink recording point;步骤200:将上行记录点和下行记录点根据存储的先后顺序分为当前上行记录点和在先上行记录点、当前下行记录点和在先下行记录点;Step 200: Divide the uplink record point and the downlink record point into the current uplink record point and the previous uplink record point, the current downlink record point, and the previous downlink record point according to the stored sequence;步骤300:若所述当前障碍点为上行障碍点,判断当前的上行障碍点之前是否存在一在先上行记录点,且该在先上行记录点在Y轴上的坐标小于当前的上行障碍点在Y轴上的坐标;若所述当前障碍点为下行障碍点,判断当前的下行障碍点之前是否存在一在先下行记录点,且该在先下行记录点在Y轴上的坐标大于当前的下行障碍点在Y轴上的坐标;Step 300: If the current obstacle point is an uplink obstacle point, determine whether there is a previous uplink recording point before the current uplink obstacle point, and the coordinate of the previous uplink recording point on the Y axis is smaller than the current uplink obstacle point. The coordinate on the Y axis; if the current obstacle point is a downward obstacle point, it is determined whether there is a previous downlink recording point before the current downlink obstacle point, and the coordinate of the previous downlink recording point on the Y axis is greater than the current downlink The coordinates of the obstacle point on the Y axis;步骤400:若判断结果为是,则该在先上行记录点或在先下行记录点为折返点,自移动机器人在该障碍点处沿X轴朝折返点方向行走至折返点X轴坐标处,删除折返点坐标,执行该点到当前障碍点之间区域的遍历行走后,返回步骤100;若判断结果为否,自移动机器人沿X轴移动一个位移量M1;Step 400: If the determination result is yes, the previous uplink recording point or the previous downward recording point is a turning point, and the mobile robot walks along the X axis toward the turning point in the obstacle point to the X-axis coordinate of the turning point. Deleting the turning point coordinates, performing the traversal walking of the area between the current obstacle point, and returning to step 100; if the judgment result is no, the self-moving robot moves a displacement amount M1 along the X axis;步骤500:自移动机器人沿原Y轴行走方向的反向行走,返回步骤100;Step 500: The mobile robot moves in the reverse direction of the original Y-axis walking direction, and returns to step 100;步骤600:循环步骤100至步骤500,直至完成行走区域的遍历行走。Step 600: Cycle step 100 to step 500 until the traversal walking of the walking area is completed.
- 如权利要求1所述的自移动机器人避障行走方法,其特征在于,所述步骤100具体还包括:The self-moving robot obstacle avoidance walking method according to claim 1, wherein the step 100 specifically includes:若当前上行障碍点与任一在先上行记录点Y轴坐标均不相同,则该上行障碍点为有效的上行障碍点;若当前下行障碍点与任一在先下行记录点Y轴坐标均不相同,则该下行障碍点为有效的下行障碍点。If the current obstacle obstacle point is not the same as the Y coordinate of any preceding uplink record point, the upside obstacle point is a valid up obstacle point; if the current downhole obstacle point and any previous down record point Y coordinate are not The same, the downside obstacle point is a valid downside obstacle point.
- 如权利要求1所述的自移动机器人避障行走方法,其特征在于,所述步骤100具体还包括:The self-moving robot obstacle avoidance walking method according to claim 1, wherein the step 100 specifically includes:任一上行障碍点均为有效上行障碍点;任一下行障碍点均为有效下行障碍点。 Any upside obstacle points are effective upside obstacle points; any downside obstacle points are effective downside obstacle points.
- 如权利要求3所述的自移动机器人避障行走方法,其特征在于,所述步骤400具体还包括:若判断结果为是,比较所有满足判断条件的上行记录点或下行记录点中X轴坐标与该障碍点处X轴坐标的差值,以差值最大的上行记录点或下行记录点为折返点。The self-moving robot obstacle avoidance walking method according to claim 3, wherein the step 400 further comprises: if the determination result is yes, comparing all the X-axis coordinates of the uplink record point or the downlink record point satisfying the judgment condition The difference between the X-axis coordinates of the obstacle point and the upstream record point or the downstream record point with the largest difference is the return point.
- 如权利要求4所述的自移动机器人壁障行走方法,其特征在于,所述步骤400具体还包括,若判断结果为是,删除所有满足判断条件的上行记录点或下行记录点坐标。The self-moving robot barrier walking method according to claim 4, wherein the step 400 further comprises: if the determination result is yes, deleting all the coordinates of the upstream record point or the downlink record point satisfying the determination condition.
- 如权利要求1所述的自移动机器人避障行走方法,其特征在于,所述步骤400具体还包括:如果自移动机器人还未走到折返点X轴坐标处再次检测到障碍物,则删除折返点坐标后进入步骤500。The self-moving robot obstacle avoidance walking method according to claim 1, wherein the step 400 specifically includes: deleting the foldback if the obstacle is detected again from the X-axis coordinate of the returning point of the returning robot. After the point coordinates, the process proceeds to step 500.
- 如权利要求1所述的自移动机器人避障行走方法,其特征在于,在所述步骤400中,机器人执行从折返点到当前障碍点之间区域的遍历行走的行走方式与步骤600中完成行走区域的遍历行走的行走方式相同。The self-moving robot obstacle avoidance walking method according to claim 1, wherein in the step 400, the robot performs a walking manner of traversing walking from the turning point to the current obstacle point and completing the walking in step 600. The traversal walking of the area walks in the same way.
- 如权利要求1-7任一项所述的自移动机器人避障行走方法,其特征在于,所述步骤400后还包括步骤410:判断自移动机器人是否可以沿原Y轴行走方向行走,若判断结果为是,则自移动机器人沿原Y轴行走方向行走,返回步骤100;若判断结果为否,则进入步骤500。The self-moving robot obstacle avoidance walking method according to any one of claims 1 to 7, wherein the step 400 further comprises a step 410 of: determining whether the self-moving robot can walk along the original Y-axis walking direction, if judging As a result, the mobile robot travels in the original Y-axis traveling direction, and returns to step 100. If the determination result is negative, the process proceeds to step 500.
- 如权利要求8所述的自移动机器人避障行走方法,其特征在于,所述步骤410判断自移动机器人是否可以沿原Y轴行走方向行走的具体内容为:The self-moving robot obstacle avoiding walking method according to claim 8, wherein the step 410 determines whether the self-moving robot can walk along the original Y-axis walking direction:自移动机器人先沿原Y轴行走方向行走,若行走一段距离后未检测到障碍物,则判断自移动机器人可以沿原Y轴行走方向行走,否则,判断自移动机器人不可以沿原Y轴行走方向行走。The self-moving robot first walks along the original Y-axis walking direction. If no obstacle is detected after walking for a certain distance, it is judged that the self-moving robot can walk along the original Y-axis walking direction. Otherwise, it is judged that the self-moving robot cannot walk along the original Y-axis. Walking in the direction.
- 如权利要求8所述的自移动机器人避障行走方法,其特征在于,自移动机器人的侧部设有侧视传感器,所述步骤410判断自移动机器人是否可以沿原Y轴行走方 向行走的具体内容为:The self-moving robot obstacle avoidance walking method according to claim 8, wherein a side view sensor is provided from a side of the mobile robot, and the step 410 determines whether the self-moving robot can travel along the original Y-axis. The specific content of walking is:自移动机器人根据侧视传感器的反馈信号判断是否可以沿原Y轴行走方向行走。The self-moving robot judges whether it is possible to walk along the original Y-axis traveling direction based on the feedback signal of the side-view sensor.
- 一种自移动机器人避障行走方法,在所述自移动机器人的行走区域内,以水平方向为X轴,竖直方向为Y轴建立平面直角坐标系,且沿着X轴或Y轴的方向行走为正向行走;A self-moving robot obstacle avoiding walking method, in which the horizontal direction is the X axis and the vertical direction is the Y axis to establish a plane rectangular coordinate system in the walking region of the self-moving robot, and the direction along the X axis or the Y axis Walking for positive walking;其特征在于,该方法具体包括如下步骤:The method is characterized in that the method specifically includes the following steps:步骤1000:自移动机器人沿Y轴行走,当自移动机器人检测到障碍物时,设该位置为障碍点,存储该位置的坐标形成记录点;Step 1000: The mobile robot walks along the Y axis. When the obstacle is detected by the mobile robot, the position is set as an obstacle point, and the coordinates of the position are stored to form a recording point;步骤2000:判断是否在先存储有一记录点,且该记录点在Y轴上的坐标位于当前障碍点与前一障碍点在Y轴向上的坐标所构成的数值区间内;Step 2000: determining whether a record point is stored first, and the coordinate of the record point on the Y axis is within a numerical interval formed by coordinates of the current obstacle point and the previous obstacle point in the Y axis;步骤3000:若判断结果为是,则该记录点为折返点,自移动机器人自当前障碍点处沿X轴朝折返点方向行走至折返点X轴坐标处,删除折返点坐标,执行该点到当前障碍点之间区域的遍历行走后,返回步骤1000;Step 3000: If the judgment result is yes, the recording point is a turning point, and the moving robot walks from the current obstacle point along the X axis toward the turning point to the X-axis coordinate of the turning point, deletes the turning point coordinate, and executes the point to After the traversal of the region between the current obstacle points, the process returns to step 1000;若判断结果为否,自移动机器人沿X轴移动一个位移量M1;If the judgment result is no, the self-moving robot moves a displacement amount M1 along the X axis;步骤4000:自移动机器人沿原Y轴行走方向的反向行走,返回步骤1000;Step 4000: The mobile robot moves in the reverse direction of the original Y-axis walking direction, and returns to step 1000;步骤5000:循环步骤1000到步骤4000,直至完成行走区域的Y轴遍历行走。 Step 5000: Loop step 1000 to step 4000 until the Y-axis traverse walk of the walking area is completed.
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/304,039 US10248126B2 (en) | 2014-04-14 | 2015-04-14 | Obstacle avoidance walking method of self-moving robot |
EP15779458.7A EP3133457B1 (en) | 2014-04-14 | 2015-04-14 | Obstacle avoidance walking method of self-moving robot |
JP2016562594A JP6622215B2 (en) | 2014-04-14 | 2015-04-14 | Obstacle avoidance traveling method of self-propelled robot |
KR1020167031679A KR102329060B1 (en) | 2014-04-14 | 2015-04-14 | Obstacle avoidance walking method of self-moving robot |
US16/275,216 US11112800B2 (en) | 2014-04-14 | 2019-02-13 | Obstacle avoidance walking method of self-moving robot |
US17/393,082 US11768496B2 (en) | 2014-04-14 | 2021-08-03 | Obstacle-avoidance moving method of self-moving robot |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410148490.X | 2014-04-14 | ||
CN201410148490.XA CN104972462B (en) | 2014-04-14 | 2014-04-14 | Obstacle avoidance walking method of self-moving robot |
Related Child Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/304,039 A-371-Of-International US10248126B2 (en) | 2014-04-14 | 2015-04-14 | Obstacle avoidance walking method of self-moving robot |
US16/275,216 Continuation US11112800B2 (en) | 2014-04-14 | 2019-02-13 | Obstacle avoidance walking method of self-moving robot |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2015158240A1 true WO2015158240A1 (en) | 2015-10-22 |
Family
ID=54269697
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2015/076510 WO2015158240A1 (en) | 2014-04-14 | 2015-04-14 | Obstacle avoidance walking method of self-moving robot |
Country Status (6)
Country | Link |
---|---|
US (3) | US10248126B2 (en) |
EP (1) | EP3133457B1 (en) |
JP (1) | JP6622215B2 (en) |
KR (1) | KR102329060B1 (en) |
CN (1) | CN104972462B (en) |
WO (1) | WO2015158240A1 (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10248126B2 (en) | 2014-04-14 | 2019-04-02 | Ecovacs Robotics Co., Ltd. | Obstacle avoidance walking method of self-moving robot |
CN109753074A (en) * | 2019-01-28 | 2019-05-14 | 北京猎户星空科技有限公司 | A kind of robot cruise control method, device, control equipment and storage medium |
US10860029B2 (en) | 2016-02-15 | 2020-12-08 | RobArt GmbH | Method for controlling an autonomous mobile robot |
US11175670B2 (en) | 2015-11-17 | 2021-11-16 | RobArt GmbH | Robot-assisted processing of a surface using a robot |
US11188086B2 (en) | 2015-09-04 | 2021-11-30 | RobArtGmbH | Identification and localization of a base station of an autonomous mobile robot |
US11550054B2 (en) | 2015-06-18 | 2023-01-10 | RobArtGmbH | Optical triangulation sensor for distance measurement |
US11709489B2 (en) | 2017-03-02 | 2023-07-25 | RobArt GmbH | Method for controlling an autonomous, mobile robot |
US11768494B2 (en) | 2015-11-11 | 2023-09-26 | RobArt GmbH | Subdivision of maps for robot navigation |
US11789447B2 (en) | 2015-12-11 | 2023-10-17 | RobArt GmbH | Remote control of an autonomous mobile robot |
Families Citing this family (28)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9519289B2 (en) | 2014-11-26 | 2016-12-13 | Irobot Corporation | Systems and methods for performing simultaneous localization and mapping using machine vision systems |
US9751210B2 (en) | 2014-11-26 | 2017-09-05 | Irobot Corporation | Systems and methods for performing occlusion detection |
CN106155056B (en) * | 2016-07-26 | 2019-09-03 | 广东宝乐机器人股份有限公司 | Self-movement robot traveling method and device |
CN106020207B (en) * | 2016-07-26 | 2019-04-16 | 广东宝乐机器人股份有限公司 | Self-movement robot traveling method and device |
CN107340768B (en) * | 2016-12-29 | 2020-08-28 | 珠海市一微半导体有限公司 | Path planning method of intelligent robot |
CN106959695B (en) | 2017-04-24 | 2019-08-02 | 广东宝乐机器人股份有限公司 | Angle modification method and mobile robot of the mobile robot in working region |
CN107505939B (en) * | 2017-05-13 | 2019-07-12 | 大连理工大学 | A kind of complete coverage path planning method of mobile robot |
CN107468160A (en) * | 2017-08-10 | 2017-12-15 | 宁波菜鸟智能科技有限公司 | A kind of wired intellective dust collector cleaning method |
CN107314773B (en) * | 2017-08-18 | 2019-10-01 | 广东宝乐机器人股份有限公司 | The map creating method of mobile robot and paths planning method based on the map |
CN109425352A (en) * | 2017-08-25 | 2019-03-05 | 科沃斯机器人股份有限公司 | Self-movement robot paths planning method |
CN107885213A (en) * | 2017-11-22 | 2018-04-06 | 广东艾可里宁机器人智能装备有限公司 | A kind of sweeping robot indoor navigation system and method |
CN107807650A (en) * | 2017-11-29 | 2018-03-16 | 莱克电气股份有限公司 | A kind of motion control method of robot, device and equipment |
CN108345303A (en) * | 2018-01-24 | 2018-07-31 | 五邑大学 | A kind of novel electric vehicle charging service system based on guiding band and robot |
CN108958243A (en) * | 2018-06-27 | 2018-12-07 | 芜湖市越泽机器人科技有限公司 | A kind of robot avoiding barrier control method |
CN109077674A (en) * | 2018-06-28 | 2018-12-25 | 芜湖泰领信息科技有限公司 | The automatic obstacle-avoiding method and intelligent sweeping machine of sweeper |
CN109582015B (en) * | 2018-11-07 | 2020-11-20 | 深圳乐动机器人有限公司 | Indoor cleaning planning method and device and robot |
CN109634276B (en) * | 2018-12-13 | 2021-05-25 | 中联重科股份有限公司 | Agricultural vehicle unmanned control method and system and agricultural vehicle |
CN111347415B (en) * | 2018-12-21 | 2021-08-13 | 广东宝乐机器人股份有限公司 | Window cleaning robot movement control method, window cleaning robot movement control system and window cleaning robot |
CN112276933A (en) * | 2019-07-24 | 2021-01-29 | 广东宝乐机器人股份有限公司 | Control method of mobile robot and mobile robot |
CN112493924B (en) * | 2019-08-26 | 2023-03-10 | 苏州宝时得电动工具有限公司 | Cleaning robot and control method thereof |
CN111061263B (en) * | 2019-11-27 | 2023-11-28 | 小狗电器互联网科技(北京)股份有限公司 | Robot obstacle-cleaning and winding method and sweeping robot |
CN112549033B (en) * | 2020-12-15 | 2022-12-02 | 灵动科技(北京)有限公司 | Trajectory control method and device, robot and storage medium |
SE2150497A1 (en) * | 2021-04-22 | 2022-10-23 | Husqvarna Ab | Improved obstacle handling for a robotic work tool |
CN113296099B (en) * | 2021-05-21 | 2023-09-01 | 福建盛海智能科技有限公司 | Method and terminal for automatically generating avoidance path according to obstacle |
CN113589806A (en) * | 2021-07-21 | 2021-11-02 | 珠海一微半导体股份有限公司 | Strategy control method for robot walking in Chinese character' gong |
CN114259187B (en) * | 2021-12-15 | 2023-04-07 | 华帝股份有限公司 | Cleaning equipment control method and cleaning equipment |
CN114578348B (en) * | 2022-05-05 | 2022-07-29 | 深圳安德空间技术有限公司 | Autonomous intelligent scanning and navigation method for ground penetrating radar based on deep learning |
CN115268470B (en) * | 2022-09-27 | 2023-08-18 | 深圳市云鼠科技开发有限公司 | Obstacle position marking method, device and medium for cleaning robot |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5353224A (en) * | 1990-12-07 | 1994-10-04 | Goldstar Co., Ltd. | Method for automatically controlling a travelling and cleaning operation of vacuum cleaners |
US20050273967A1 (en) * | 2004-03-11 | 2005-12-15 | Taylor Charles E | Robot vacuum with boundary cones |
CN102541056A (en) * | 2010-12-16 | 2012-07-04 | 莱克电气股份有限公司 | Obstacle processing method for robot |
Family Cites Families (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6093522A (en) * | 1983-10-26 | 1985-05-25 | Ootomatsukusu Kk | Controller of moving robot |
JP3401023B2 (en) * | 1991-11-22 | 2003-04-28 | 日本輸送機株式会社 | Unmanned vehicle control method |
JPH05257533A (en) * | 1992-03-12 | 1993-10-08 | Tokimec Inc | Method and device for sweeping floor surface by moving robot |
US6574536B1 (en) * | 1996-01-29 | 2003-06-03 | Minolta Co., Ltd. | Moving apparatus for efficiently moving on floor with obstacle |
US5890250A (en) * | 1996-02-02 | 1999-04-06 | Sky Robitics, Inc. | Robotic washing apparatus |
IL124413A (en) * | 1998-05-11 | 2001-05-20 | Friendly Robotics Ltd | System and method for area coverage with an autonomous robot |
GB2344900A (en) | 1998-12-18 | 2000-06-21 | Notetry Ltd | Robotic floor cleaning device with obstacle detection |
US8412377B2 (en) * | 2000-01-24 | 2013-04-02 | Irobot Corporation | Obstacle following sensor scheme for a mobile robot |
CN1129053C (en) * | 2001-01-15 | 2003-11-26 | 泰怡凯电器(苏州)有限公司 | Method for recognizing cleanable region and barrier region of automatic duster |
CN1287722C (en) * | 2002-06-21 | 2006-12-06 | 泰怡凯电器(苏州)有限公司 | Method for identifying automatic dust collector cleanable area and obstacle area |
US20050010331A1 (en) * | 2003-03-14 | 2005-01-13 | Taylor Charles E. | Robot vacuum with floor type modes |
JP2004275468A (en) * | 2003-03-17 | 2004-10-07 | Hitachi Home & Life Solutions Inc | Self-traveling vacuum cleaner and method of operating the same |
FR2861855B1 (en) * | 2003-11-03 | 2006-06-30 | Wany Sa | METHOD AND DEVICE FOR SCANNING A SURFACE STATISTICALLY |
JP2005211367A (en) | 2004-01-30 | 2005-08-11 | Funai Electric Co Ltd | Autonomous traveling robot cleaner |
JP2006113952A (en) | 2004-10-18 | 2006-04-27 | Funai Electric Co Ltd | Charging type travel system |
KR20080075051A (en) * | 2007-02-10 | 2008-08-14 | 삼성전자주식회사 | Robot cleaner and control method thereof |
KR101281512B1 (en) * | 2007-04-06 | 2013-07-03 | 삼성전자주식회사 | Robot cleaner and control method thereof |
KR100963781B1 (en) * | 2008-03-31 | 2010-06-14 | 엘지전자 주식회사 | Controlling method of robot cleaner |
BR112012010612A2 (en) * | 2009-11-06 | 2017-08-15 | Evolution Robotics Inc | MOBILE DEVICE CONFIGURED FOR SURFACE NAVIGATION AND METHOD FOR SURFACE NAVIGATION WITH MOBILE DEVICE |
KR101081927B1 (en) * | 2010-05-15 | 2011-11-09 | 주식회사 일심글로발 | Window cleaning apparatus and method for controlling the apparatus's moving |
TWM451103U (en) * | 2012-10-30 | 2013-04-21 | Agait Technology Corp | Walking device |
KR102116285B1 (en) * | 2013-11-29 | 2020-06-05 | 삼성전자주식회사 | Cleaning robot and control method thereof |
CN110543168B (en) * | 2014-04-14 | 2022-10-04 | 科沃斯机器人股份有限公司 | Walking method of self-moving robot and walking method of sweeping robot |
CN104972462B (en) | 2014-04-14 | 2017-04-19 | 科沃斯机器人股份有限公司 | Obstacle avoidance walking method of self-moving robot |
CN111419121B (en) * | 2014-07-01 | 2022-11-29 | 三星电子株式会社 | Cleaning robot and control method thereof |
-
2014
- 2014-04-14 CN CN201410148490.XA patent/CN104972462B/en active Active
-
2015
- 2015-04-14 EP EP15779458.7A patent/EP3133457B1/en active Active
- 2015-04-14 JP JP2016562594A patent/JP6622215B2/en active Active
- 2015-04-14 KR KR1020167031679A patent/KR102329060B1/en active IP Right Grant
- 2015-04-14 US US15/304,039 patent/US10248126B2/en active Active
- 2015-04-14 WO PCT/CN2015/076510 patent/WO2015158240A1/en active Application Filing
-
2019
- 2019-02-13 US US16/275,216 patent/US11112800B2/en active Active
-
2021
- 2021-08-03 US US17/393,082 patent/US11768496B2/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5353224A (en) * | 1990-12-07 | 1994-10-04 | Goldstar Co., Ltd. | Method for automatically controlling a travelling and cleaning operation of vacuum cleaners |
US20050273967A1 (en) * | 2004-03-11 | 2005-12-15 | Taylor Charles E | Robot vacuum with boundary cones |
CN102541056A (en) * | 2010-12-16 | 2012-07-04 | 莱克电气股份有限公司 | Obstacle processing method for robot |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10248126B2 (en) | 2014-04-14 | 2019-04-02 | Ecovacs Robotics Co., Ltd. | Obstacle avoidance walking method of self-moving robot |
US11112800B2 (en) | 2014-04-14 | 2021-09-07 | Ecovacs Robotics Co., Ltd. | Obstacle avoidance walking method of self-moving robot |
US11768496B2 (en) | 2014-04-14 | 2023-09-26 | Ecovacs Robotics Co., Ltd. | Obstacle-avoidance moving method of self-moving robot |
US11550054B2 (en) | 2015-06-18 | 2023-01-10 | RobArtGmbH | Optical triangulation sensor for distance measurement |
US11188086B2 (en) | 2015-09-04 | 2021-11-30 | RobArtGmbH | Identification and localization of a base station of an autonomous mobile robot |
US11768494B2 (en) | 2015-11-11 | 2023-09-26 | RobArt GmbH | Subdivision of maps for robot navigation |
US11175670B2 (en) | 2015-11-17 | 2021-11-16 | RobArt GmbH | Robot-assisted processing of a surface using a robot |
US11789447B2 (en) | 2015-12-11 | 2023-10-17 | RobArt GmbH | Remote control of an autonomous mobile robot |
US10860029B2 (en) | 2016-02-15 | 2020-12-08 | RobArt GmbH | Method for controlling an autonomous mobile robot |
US11709497B2 (en) | 2016-02-15 | 2023-07-25 | RobArt GmbH | Method for controlling an autonomous mobile robot |
US11709489B2 (en) | 2017-03-02 | 2023-07-25 | RobArt GmbH | Method for controlling an autonomous, mobile robot |
CN109753074A (en) * | 2019-01-28 | 2019-05-14 | 北京猎户星空科技有限公司 | A kind of robot cruise control method, device, control equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN104972462A (en) | 2015-10-14 |
US20170083022A1 (en) | 2017-03-23 |
EP3133457A4 (en) | 2018-01-03 |
US11112800B2 (en) | 2021-09-07 |
US10248126B2 (en) | 2019-04-02 |
JP2017511549A (en) | 2017-04-20 |
CN104972462B (en) | 2017-04-19 |
US11768496B2 (en) | 2023-09-26 |
US20210365030A1 (en) | 2021-11-25 |
KR102329060B1 (en) | 2021-11-19 |
EP3133457A1 (en) | 2017-02-22 |
JP6622215B2 (en) | 2019-12-18 |
US20190179321A1 (en) | 2019-06-13 |
EP3133457B1 (en) | 2019-01-02 |
KR20170008745A (en) | 2017-01-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2015158240A1 (en) | Obstacle avoidance walking method of self-moving robot | |
JP2017511549A5 (en) | ||
CN107390698B (en) | Supplementary sweeping method and chip of sweeping robot | |
US11774980B2 (en) | Method for controlling cleaning of robot, chip, and robot cleaner | |
CN110338715B (en) | Method and chip for cleaning floor by intelligent robot and cleaning robot | |
US20230309776A1 (en) | Method for Controlling Cleaning Based on Dense Obstacles | |
WO2021248846A1 (en) | Robot edge treading areal sweep planning method, chip, and robot | |
WO2021008611A1 (en) | Robot trapping detection and de-trapping method | |
CN107491069B (en) | Processing method and chip for robot encountering barrier | |
US20170075353A1 (en) | Local obstacle avoidance walking method of self-moving robot | |
US20190129433A1 (en) | A path planning method of intelligent robot | |
CN111603099A (en) | Cleaning planning method with region traversal priority and chip | |
CN107505942B (en) | Processing method and chip for detecting obstacle by robot | |
CN106155056A (en) | Self-movement robot traveling method and device | |
CN110477813B (en) | Laser type cleaning robot and control method thereof | |
JP2022506296A (en) | Cleaning robot path cleaning method, system and tip | |
CN113031616A (en) | Cleaning robot return path planning method and system and cleaning robot | |
CN108931980B (en) | Marking method and chip of robot built-in map and indoor cleaning robot | |
KR101970191B1 (en) | Apparatus and method for controlling cleaning function and robotic cleaner with the apparatus | |
WO2024037260A1 (en) | Control method of cleaning device, cleaning device, and storage medium | |
GB2613620A (en) | Method for edge cleaning | |
GB2615512A (en) | Method for edge cleaning |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 15779458 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2016562594 Country of ref document: JP Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 20167031679 Country of ref document: KR Kind code of ref document: A |
|
REEP | Request for entry into the european phase |
Ref document number: 2015779458 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2015779458 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 15304039 Country of ref document: US |